This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
DOJO by Student One
Run large scale permutations of high frequency statistics
Other platforms find the best configuration. DOJO finds all of them. Every indicator period pair across 1,400 lookback periods — tested at native 1-minute resolution, zero resampling bias. Complete solution sets for quantitative research. Dojo also gives access to Gemina, which is a cross asset pair convergence enumeration engine meant for pair trading strategy research and other stat arb research.
“Run large scale permutations of high frequency statistics”
DOJO by Student One was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #742 on the daily leaderboard. Other platforms find the best configuration. DOJO finds all of them. Every indicator period pair across 1,400 lookback periods — tested at native 1-minute resolution, zero resampling bias. Complete solution sets for quantitative research. Dojo also gives access to Gemina, which is a cross asset pair convergence enumeration engine meant for pair trading strategy research and other stat arb research.
Who hunted DOJO by Student One?
DOJO by Student One was hunted by Shubham Sood. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how DOJO by Student One stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Shubham Sood